Fuzzy Observer Constraint Based on Adaptive Control for Uncertain Nonlinear MIMO Systems With Time-Varying State Constraints

Decentralized Adaptive Tracking of Interconnected Nonlinear Systems by Corrupted Output Feedback

“…are nonlinear functions of the ith subsystem, and φ i (t) denotes an unknown parameter denoting the time-varying measurement sensitivity of the ith subsystem. When φ i (t) = 1, the system (1) describes ideal interconnected nonlinear systems without measurement sensitivities that are considered in [21][22][23][24][25][26][27][28][29][30][31]. Assumption 1 ([6]).…”

“…The decentralized control problem of interconnected nonlinear systems has been regarded as an interesting issue because of the benefits of decentralized controllers over standard centralized controllers such as the simplicity and computational efficiency by using the information on the subsystem itself (see [13][14][15][16][17][18] and the references therein). Among them, the adaptive recursive control techniques such as backstepping [19] and dynamic surface control [20] have been employed to handle unknown interaction nonlinearities unmatched to local control inputs [21][22][23][24][25][26]. In [27], a decentralized output-feedback domination design approach was investigated for uncertain nonlinear large-scale systems.…”

“…An adaptive decentralized control method using barrier Lyapunov functions was proposed for uncertain large-scale nonlinear systems subject to full state constraints [31]. However, the existing results [21][22][23][24][25][26][27][28][29][30][31] did not consider the measurement sensitivity problem. Namely, the decentralization of the control structure is based on the accurate state-feedback information.…”

“…Different from the state information in the interaction nonlinearities, the state information for the local control design is corrupted by measurement sensitivity. Thus, contrary to [21][22][23][24][25][26][27][28][29][30][31], the local controller using corrupted state variables should be designed for each subsystem. Because of this difficulty, there are few results to deal with the imprecise sensor measurement problem in the decentralized control field.…”

“…(i) Compared with [21][22][23][24][25][26][27][28][29][30][31], the decentralized control problem in the presence of unknown measurement sensitivities is considered in this paper. The local adaptive resilient output-feedback control design using the corrupted output information is presented for each subsystem.…”